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Stable Prediction with Model Misspecification and Agnostic Distribution
  Shift

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

31 January 2020
Kun Kuang
Ruoxuan Xiong
Peng Cui
Susan Athey
Bo-wen Li
    OOD
ArXivPDFHTML

Papers citing "Stable Prediction with Model Misspecification and Agnostic Distribution Shift"

18 / 18 papers shown
Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
K. Wang
Bo Li
31
0
0
12 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
62
1
0
24 Apr 2025
Generalized Fake Audio Detection via Deep Stable Learning
Generalized Fake Audio Detection via Deep Stable Learning
Zhiyong Wang
Ruibo Fu
Zhengqi Wen
Yuankun Xie
Yukun Liu
...
Yongwei Li
Jianhua Tao
Yi Lu
Xin Qi
Shuchen Shi
37
7
0
05 Jun 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
36
2
0
19 Dec 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution
  Generalization
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Yingchun Wang
Jingcai Guo
Yi Liu
Song Guo
Weizhan Zhang
Xiangyong Cao
Qinghua Zheng
AAML
OODD
29
11
0
19 May 2023
Exploring Optimal Substructure for Out-of-distribution Generalization
  via Feature-targeted Model Pruning
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
Jiewei Zhang
OODD
29
16
0
19 Dec 2022
Stable Learning via Sparse Variable Independence
Stable Learning via Sparse Variable Independence
Han Yu
Peng Cui
Yue He
Zheyan Shen
Yong Lin
Renzhe Xu
Xingxuan Zhang
OOD
28
13
0
02 Dec 2022
Improving Multi-Interest Network with Stable Learning
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
42
1
0
14 Jul 2022
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OOD
AI4CE
26
16
0
29 Jun 2022
Towards Domain Generalization in Object Detection
Towards Domain Generalization in Object Detection
Xingxuan Zhang
Zekai Xu
Renzhe Xu
Jiashuo Liu
Peng Cui
Weitao Wan
Chong Sun
Chen Li
ObjD
OOD
22
21
0
27 Mar 2022
Towards Class-agnostic Tracking Using Feature Decorrelation in Point
  Clouds
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Shengjing Tian
Jun Liu
Xiuping Liu
3DPC
19
4
0
28 Feb 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
31
38
0
19 Jan 2022
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODD
OOD
21
97
0
07 Dec 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
Shaohua Fan
Xiao Wang
Chuan Shi
Peng Cui
Bai Wang
CML
OOD
OODD
AI4CE
39
81
0
20 Nov 2021
Stable Prediction on Graphs with Agnostic Distribution Shift
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
OOD
34
8
0
08 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
29
515
0
31 Aug 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
11
8
0
15 Jun 2021
Causality-aware counterfactual confounding adjustment as an alternative
  to linear residualization in anticausal prediction tasks based on linear
  learners
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
E. C. Neto
OOD
CML
16
6
0
09 Nov 2020
1